Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
/plugin marketplace add MSApps-Mobile/claude-pluginsnpx agentmods add plugins/msapps-mobile/claude-plugins/linkedin-scrapergit clone --depth 1 https://github.com/MSApps-Mobile/claude-pluginsGrade A, and why
linkedin-scraper scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "linkedin-scraper",
"version": "0.2.0",
"description": "Scrape LinkedIn profiles and company pages using Apify actors \u2014 extract professional data, work history, and company info without manual browsing.",
"author": {
"name": "MSApps",
"email": "[email protected]"
},
"repository": "https://github.com/MSApps-Mobile/claude-plugins",
"homepage": "https://github.com/MSApps-Mobile/claude-plugins/tree/main/plugins/linkedin-scraper",
"license": "MIT",
"privacy_policy": "https://opsagents.agency/privacy",
"terms_of_service": "https://opsagents.agency/terms",
"keywords": [
"linkedin",
"scraper",
"apify",
"sales",
"leads",
"profiles",
"prospecting",
"sosa-agents"
],
"sosa": {
"compliant": true,
"level": 2,
"impact": "medium",
"methodology": "https://github.com/MSApps-Mobile/claude-plugins/blob/main/docs/SOSA.md",
"whitepaper": "https://github.com/MSApps-Mobile/claude-plugins/blob/main/docs/sosa-whitepaper.pdf",
"pillars": {
"supervised": "User confirmation before scraping operations and data extraction",
"orchestrated": "URL\u2192Scrape\u2192Parse\u2192Format pipeline with structured output",
"secured": "Apify API token authentication, rate limiting, LinkedIn ToS awareness",
"agents": "R=profile-extraction+company-intel, T=Apify API, M=LinkedIn data, P=scraping pipeline"
}
},
"topics": [
"sosa-agents"
]
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 41 lines scan A ef8d1b4d31ea
linkedin-scraper is a plugin published in the GitHub repository MSApps-Mobile/claude-plugins (9 stars, last pushed 6d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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